Data Engineer in Norwich

Data Engineer in Norwich

Norwich Full-Time 63000 - 77000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead data engineering projects and deliver impactful customer solutions.
  • Company: Join Verisk Analytics, a leader in data and analytics for the insurance industry.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative team environment with a focus on innovation and problem-solving.
  • Why this job: Make a real difference by shaping how data is used in the insurance sector.
  • Qualifications: Experience in data engineering and proficiency in AWS and Python.

The predicted salary is between 63000 - 77000 £ per year.

hackajob is partnering directly with Verisk Analytics to hire for this role. Description

At Verisk, we empower businesses around the world with data, analytics, technology, and deep domain expertise.

Our solutions help customers manage risk, improve performance, and make confident decisions in complex environments.

Within

Verisk General Insurance UK , we provide market-leading data and analytics solutions that support insurers, brokers, and industry partners.

Our datasets span property, motor insurance, fraud prevention, and claims, helping customers better understand risk and improve outcomes.

We're looking for a

Data Engineer to join our Norwich-based team and play a key role in delivering customer-facing data solutions.

This is an opportunity to work directly with valuable insurance datasets, lead proof-of-concept initiatives, and help shape the way data is delivered, automated, and scaled across the business.

Why this role?

This role offers a unique combination of data engineering, customer impact, and technical ownership.

You'll be trusted to lead underwriting proof-of-concept projects that help customers evaluate the value of Verisk data before making commercial decisions.

Your work will directly influence customer outcomes, product adoption, and future business opportunities.

You'll also have the opportunity to improve and automate existing processes, work with modern cloud technologies, and expand your expertise across a broad range of data engineering activities.

What makes this role different: Own customer proof-of-concept projects from end to end Work with large-scale property and insurance datasets used throughout the industry Partner with both technical teams and non-technical business stakeholders Help modernize and automate existing workflows using AWS and Python Gain exposure to multiple areas of the data engineering function through cross-training Join a collaborative team where communication, initiative, and problem-solving are highly valued About the team You'll join a team primarily made up of Data Analysts alongside an experienced Data Engineer.

The role will work closely with both groups, supporting underwriting databases, sharing knowledge, and contributing to broader data engineering initiatives. While you'll t...

Data Engineer in Norwich employer: Hackajob

Joining Google as a Security Platform Engineer in the UK Public Sector means becoming part of a dynamic and innovative team dedicated to delivering secure private cloud services for critical customers. With a strong emphasis on employee growth, you will have access to cutting-edge technology and collaborative opportunities that foster professional development. The inclusive work culture at Google encourages creativity and teamwork, making it an exceptional employer for those seeking meaningful and impactful work in a supportive environment.

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Contact Details:

Hackajob Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer in Norwich

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Hackajob!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Hackajob.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Hackajob.

Apply Directly through Our Website

When you find a suitable opening like Data Engineer at Hackajob, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Engineer in Norwich

Communication Skills
Python
API Integration
Data Governance
SQL
Automation
Data Engineering

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Hackajob, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hackajob. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Hackajob

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Hackajob!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.